As for the binary classification, the residues in the dataset are classified as negative (i.e. good local quality) and positive (i.e. bad quality) applying an arbitrary lDDT local score threshold of 60. Please refer to the Help section for further details about the assessment procedure.
All models   13 weeks (2019-11-22 - 2020-02-15 )
Number of Structural Models: 2091
Number of high quality residues : 333910 (66.49 %)
Number of low quality residues : 168258 (33.51 %)




The histogram shows the global quality (as lDDT global scores) of the structures composing the dataset. Please refer to the Help section for further details about the assessment procedure.

Low quality models    13 weeks (2019-11-22 - 2020-02-15)
Number of Structural Models: 392
Number of high quality residues : 9092 (13.87 %)
Number of low quality residues : 56457 (86.13 %)




The histogram shows the global quality (as lDDT global scores) of the structures composing the dataset. Please refer to the Help section for further details about the assessment procedure.

Medium quality models    13 weeks (2019-11-22 - 2020-02-15)
Number of Structural Models: 1227
Number of high quality residues : 199733 (65.46 %)
Number of low quality residues : 105403 (34.54 %)




The histogram shows the global quality (as lDDT global scores) of the structures composing the dataset. Please refer to the Help section for further details about the assessment procedure.

High quality models    13 weeks (2019-11-22 - 2020-02-15)
Number of Structural Models: 472
Number of high quality residues : 125085 (95.13 %)
Number of low quality residues : 6398 (4.87 %)




The histogram shows the global quality (as lDDT global scores) of the structures composing the dataset. Please refer to the Help section for further details about the assessment procedure.

3-months [2019-11-22 - 2020-02-15] - "All" dataset
Predictor Name Predictor Type Avg. response time
(hh:mm:ss)
Structural models ROC ROCnormalized PR PRnormalized
#Submitted #Received % AUC0,1 AUC*0,0.2 AUC0,1 AUC*0,0.2 AUC0,1 AUC*0.8,1 AUC0,1 AUC*0.8,1